Math 385/585 Applied Regression Analysis
Fall 2009
Section 001 1:50 to 2:50, M W F
Instructor: Dr. Chris Edwards Phone: 424-1358 or 948-3969 Office: Swart 123
Classroom: Swart 2 Text: Applied Linear Statistical Models, 5th
edition, by Kutner,
Nachtsheim, Neter, and Li.
Catalog
Description: A practical introduction to regression emphasizing
applications rather than theory.
Simple and multiple regression analysis, basic components of
experimental design, and elementary model building. Both conventional and computer techniques will be used in
performing the analyses.
Prerequisite: Math 201 or Math 301 and Math 256 each with a grade of C or better.
Course
Objectives: The goal of statistics is to gain understanding from
data. This course focuses on
critical thinking and active learning involving statistical regression. Students will be engaged in statistical
problem solving and will develop intuition concerning data analysis, including
the use of appropriate technology.
Specifically students will develop
• an
awareness of the nature and value of regression
• a
sound, critical approach to interpreting statistics, including possible misuses
• facility
with statistical calculations and evaluations, using appropriate technology
• effective
written and oral communication skills
Grading: Final grades are based on these 300 points:
|
Topic |
Points |
Tentative Date |
Chapters |
Exam 1 |
Simple Linear Regression |
70 pts. |
October 9 |
1 to 4 |
Exam 2 |
Multiple Regression I |
70 pts. |
November 16 |
5 to 8 |
Exam 3 |
Multiple Regression II |
70 pts. |
December 18 |
9 to 11, 13 and 14 |
Homework |
15 Points Each |
90 pts. |
|
|
Final grades are
assigned as follows:
270 pts. A
(90 %)
260 pts. A-
(87 %)
250 pts. B+
(83 %)
240 pts. B
(80 %)
230 pts. B-
(77 %)
220 pts. C+
(73 %)
210 pts. C
(70 %)
200 pts. C-
(67 %)
190 pts. D+
(63 %)
180 pts. D
(60 %)
179 pts. or less F
Homework:
I will collect (around) 5 homework problems approximately
once every other week. The due
dates are listed on the course outline below. I suggest that you work together in small groups on the
homework if you like, but don't forget that I am a resource for you to
use. Often we will use computer
software to perform our analyses; include printouts where appropriate, but
please make your papers readable.
In other words, I don't want 25 pages of printout handed in if you can
summarize it in two.
Office
Hours: Office hours are times when I will be in my office to
help you. There are many other
times when I am in my office. If I
am in and not busy, I will be happy to help. My office hours for Fall 2009 semester are 10:20 to 11:00,
Monday, Wednesday, and Friday and 2:00 to 2:50, Tuesday or by appointment.
Philosophy: I
strongly believe that you, the student, are the only person who can make
yourself learn. Therefore,
whenever it is appropriate, I expect you to discover
the mathematics we will be exploring. I do not feel that lecturing to you will teach
you how to do mathematics. I hope
to be your guide while we
learn some mathematics, but you
will need to do the learning. I
expect each of you to come to class prepared to digest the day’s material. That means you will benefit most by
having read each section of the text before class.
My
idea of education is definitely not “Teaching is telling and learning is
listening”. I believe that you
must be active in the learning process to learn effectively. Therefore, I view my job as a teacher
as not telling you the answers to
the problems we will encounter, but rather pointing you in a direction that
will allow you to see the solutions yourselves. To accomplish that goal, I will work to find different interactive
activities for us to work on. Your
job is to use me, your text, your friends, and any other resources to become
adept at the material. Remember,
the goal is to learn mathematics, not to pass the exams. (Incidentally, if you have truly
learned the material, the test results will take care of themselves.)
Math
585 Expectations: Expectations for the graduate students
are understandably more rigorous than for the undergraduate student. Students taking Math 585 will have an
extra theoretical problem added to each homework, to be assigned during the
semester. In addition, a final
project worth 50 points will be due at the end of the semester. This project will involve a complete
analysis of a data set, including model estimation, development, and
validation.
Homework
Assignments: (subject to change if
we discover difficulties as we go)
Homework 1, due September 21 |
Chapter 1: 1.19 p. 35 |
Homework 2, due October 5 |
Chapter 2: 2.23 p. 93 |
Homework 3, due October 26 |
Chapter 3: 3.17 p. 150-151 |
Homework 4, due November 13 |
Chapter 6: 6.10 p. 249 |
Homework 5, due November 30 |
Chapter 9: 9.15 p. 378-379 |
Homework 6, due December 14 |
Chapter 10: 10.10 b-f p. 415 |
Monday |
Wednesday |
Friday |
September 7 |
September 9 Day
1 |
September 11 Day
2 |
September 14 Day
3 |
September 16 Day
4 |
September 18 Day
5 |
September 21 Day
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September 30 Day 10 |
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November 25 |
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December 7 Day
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December 9 Day
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December 11 Day
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December 14 Day
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December 16 Day
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December 18 Day
42 |
Managed by: chris edwards
Last updated September 7, 2009